Our research projects vary in size, scope, and duration, but they share a focus on developing tools and methods that help LLNL deliver on its missions to the nation and, more broadly, advance the state of the art in scientific HPC. Projects are organized here in three ways: Active projects are those currently funded and regularly updated. Legacy projects are no longer actively developed. The A-Z option sorts all projects alphabetically, both active and legacy.

Active | A-Z | Legacy

Spack

A Flexible Package Manager for HPC Software

Livermore builds an open-source community around its award-winning HPC package manager.

High-Order Finite Volume Methods

Tackling Phase Space Problems in Complex Geometries

High-resolution finite volume methods are being developed for solving problems in complex phase space geometries, motivated by kinetic models of fusion plasmas.

TOSS

Speeding Up Commodity Cluster Computing

Researchers are developing a standardized and optimized operating system and software for deployment across Linux clusters to enable HPC at a reduced cost.

STAT

Discovering Supercomputers' Code Errors

LLNL’s Stack Trace Analysis Tool helps users quickly identify errors in code running on today’s largest machines.

ROSE Compiler

Robust Analysis, Debugging, and Optimization Capabilities

ROSE, an open-source project maintained by Livermore researchers, provides easy access to complex, automated compiler technology and assistance.

Master Block List

Protecting Against Cyber Threats

Master Block List is a service and data aggregation tool that aids Department of Energy facilities in creating filters and blocks to prevent cyber attacks.

Ardra

Scaling Up Transport Sweep Algorithms

Researchers are testing and enhancing a neutral particle transport code and its algorithm to ensure that they successfully scale to larger and more complex computing systems.

ESGF

Supporting Climate Research Collaboration

The Earth System Grid Federation is a web-based tool set that powers most global climate change research.

Data-Intensive Computing Solutions

Addressing Growing Demands

New platforms are improving big data computing on Livermore’s high performance computers.

HPC Code Performance

Challenges and Solutions

LLNL researchers are finding some factors are more important in determining HPC application performance than traditionally thought.

CT Image Enhancement

Novel Processing Pipeline for Threat Detection

Researchers are developing enhanced computed tomography image processing methods for explosives identification and other national security applications.

Derived Field Generation

Execution Strategies for Multiple Hardware Architectures

Livermore computer scientists have helped create a flexible framework that aids programmers in creating source code that can be used effectively on multiple hardware architectures.

Machine Learning

Strengthening Performance Predictions

LLNL computer scientists use machine learning to model and characterize the performance and ultimately accelerate the development of adaptive applications.

InfiniBand

Improving Communications for Large-Scale Computing

Livermore Computing staff is enhancing the high-speed InfiniBand data network used in many of its high performance computing and file systems.

Topological Analysis

Charting Data’s Peaks and Valleys

LLNL and University of Utah researchers have developed an advanced, intuitive method for analyzing and visualizing complex data sets.

TESSA

Tracking Space Debris

Testbed Environment for Space Situational Awareness software helps to track satellites and space debris and prevent collisions.

ZFS

Improving Lustre Efficiency

Computer scientists are incorporating ZFS into their high performance parallel file systems for better performance and scalability.

PSUADE

Non-Intrusive Uncertainty Quantification

The flourishing of simulation-based scientific discovery has also resulted in the emergence of the UQ discipline, which is essential for validating and verifying computer models.

zfp

Compressed Floating-Point and Integer Arrays

zfp is an open-source C/C++ library for compressed floating-point and integer arrays that support high throughput read and write random access.

Cram

Running Millions of Concurrent MPI Jobs

Cram lets you easily run many small MPI jobs within a single, large MPI job by splitting MPI_COMM_WORLD up into many small communicators to run each job in the cram file independently.

PAVE

Performance Analysis and Visualization at Exascale

Performance analysis of parallel scientific codes is difficult. The HAC model allows direct comparison of data across domains with data viz and analysis tools available in other domains.

FGFS

Fast Global File Status

Fast Global File Status (FGFS) is an open-source package that provides scalable mechanisms and programming interfaces to retrieve global information of a file.

Spindle

Scalable Shared Library Loading

Spindle improves the library-loading performance of dynamically linked HPC applications by plugging into the system’s dynamic linker and intercepting its file operations.

Caliper

Application Introspection System

Caliper enables users to build customized performance measurement and analysis solutions by connecting independent context annotations, measurement services, and data processing services.